The impact of VITEK 2 implementation for identification and susceptibility testing of microbial isolates in a Brazilian public hospital.

Autor: Decarli A; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil., Nascimento LV; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil., Hiromi Sayama Esteves L; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil., Arenas Rocha P; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil., Yuki VMG; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil., Cieslinski J; Laboratory of Emerging Infectious Diseases, School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil., Telles JP; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil.; Laboratory of Emerging Infectious Diseases, School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil.; Infectious Diseases Department, AC Camargo Cancer Center, São Paulo, Brazil., Ribeiro VST; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil.; Laboratory of Emerging Infectious Diseases, School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil., Tuon FF; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil.; Laboratory of Emerging Infectious Diseases, School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80.215-901, Brazil.
Jazyk: angličtina
Zdroj: Journal of medical microbiology [J Med Microbiol] 2022 Jun; Vol. 71 (6).
DOI: 10.1099/jmm.0.001543
Abstrakt: Introduction. The use of automated systems in identification and susceptibility tests can improve antimicrobial therapy, and positively impact clinical outcomes with a decrease in antimicrobial resistance, hospitalization time, costs, and mortality. Aim. The aim of this study was to evaluate the clinical impact of an automated method for identification and susceptibility testing of microbial isolates. Methodology. This was a retrospective cross-sectional study aimed to analyse the results before and after the implementation period of a VITEK 2 system in a Brazilian university hospital. Based on data from medical records, patients with a positive culture of clinical samples from January to July 2017 (conventional method) and from August to December 2017 (automated method) were included in this study. Demographic data, hospitalization time, time interval between culture collection and results, culture results and site, susceptibility profile, minimum inhibitory concentration, and outcome data were evaluated. Chi-square and Fischer's tests were used in the analysis. Results. Of the total samples, 836 were considered valid by the inclusion criteria, with 219 patients before VITEK 2 system implementation group and 545 in the post-implementation group. The comparison between the two periods showed a reduction of 25 % of the time to culture reports, a decrease of 33.5 to 17.0 days of hospitalization, and a reduction in mortality from 44.3-31.0 %, respectively. Conclusion. The VITEK 2 system provided early access to appropriate antimicrobial therapy for patients and effected a positive clinical impact with a reduction in mortality and hospitalization time.
Databáze: MEDLINE